AI/ML Architect

Job Title

AI/ML Architect

Role Summary

Lead the design and architecture of AI/ML and agentic AI solutions across Siemens EDA products. Define technical architecture, governance, and platform standards; collaborate with engineering, product, UX and research teams to turn AI concepts into production-grade systems for electronic design automation.

Experience Level

Senior — requires 12+ years of industry experience, including at least 4–8 years focused on AI/ML.

Responsibilities

Core responsibilities include:

• Define and drive technical architecture for AI/ML and Agentic AI across multiple products and teams.
• Design scalable AI platforms leveraging large language models, agentic frameworks, Model Context Protocol, LangGraph, vector databases, and retrieval-augmented generation.
• Establish architecture patterns, protocols, governance models, and technology roadmaps for AI-enabled products.
• Lead design of intelligent agents for tool usage, workflow automation, reasoning, planning, and autonomous task execution.
• Evaluate and select models, frameworks, and infrastructure to meet product and business goals.
• Architect end-to-end systems: data pipelines, model serving, observability, memory management, evaluation frameworks, and deployment strategies.
• Collaborate with engineering leaders, product management, UX, AI researchers, and domain experts to deliver production-grade solutions.
• Mentor engineering teams on LLM architecture, prompt engineering, RAG systems, and AI standards.
• Define technical strategy for AI adoption and identify high-impact opportunities across EDA workflows.
• Ensure responsible AI practices including model evaluation, governance, security, privacy, and compliance.

Requirements

Must-have:

• 12+ years of industry experience with proven delivery of enterprise-scale AI/ML solutions from concept to production.
• Strong expertise in LLM-based systems, agentic AI frameworks, RAG architectures, vector databases, and AI orchestration platforms.
• Proficiency in Python and solid software design and clean-code practices.
• Hands-on experience building AI agents or copilots that integrate with tools or external APIs.
• Familiarity with agentic design patterns (ReAct, plan-execute, multi-step reasoning) and prompt engineering practices.
• Hands-on experience with ML frameworks such as PyTorch, TensorFlow, or scikit-learn.
• Practical experience in data preprocessing, feature engineering, model evaluation, and deployment.
• Strong understanding of deep learning models, including transformers, plus foundations in algorithms, data structures, CLI and API design.

Nice-to-have:

• Experience with code-understanding systems, AST analysis, or tree-sitter.
• Proficiency in C/C++ and experience with graph databases (e.g., Neo4j, FalkorDB).
• Background or interest in digital design, SystemVerilog, or EDA tools.
• Familiarity with containerization (Docker), CI/CD practices, compilers, parallelism, GPUs, or profiling tools.

Education Requirements

Not specified.

About the Company

Company: Siemens

Headquarters: Munich, Germany

Siemens EDA is a leading global provider of Electronic Design Automation (EDA) products and systems. Their innovative solutions enable companies to enhance the development of electronic products efficiently and effectively, keeping pace with the complex demands of technology and physics. Siemens is committed to delivering advanced workflow solutions that integrate both EDA and MCAD tools for multi-domain design and manufacturing in the semiconductor industry.